{"id":"W2040181029","doi":"10.1097/01.opx.0000221403.32040.17","title":"Novel Pachometry Calibration","year":2006,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873658,0.001180443,0.0008793637,0.001595265,0.0005371735,0.001091701,0.002195582,0.001184632,0.005518355],"category_scores_gemma":[0.00759232,0.0007290401,0.0005427724,0.001049362,0.0006890522,0.00185847,0.001834389,0.001339738,0.002396743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636901,"about_ca_system_score_gemma":0.0006713859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004500883,"about_ca_topic_score_gemma":0.0005991283,"domain_scores_codex":[0.9959936,0.0005013313,0.0001938472,0.000908459,0.002310609,0.0000920713],"domain_scores_gemma":[0.9949074,0.0015457,0.0006020346,0.001141636,0.00168589,0.0001172713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000379141,0.0003061856,0.01198161,0.0009901497,0.0001234727,0.0004946326,0.0004649769,0.003916501,0.3589071,0.004831275,0.006143446,0.6114616],"study_design_scores_gemma":[0.0002764835,0.001692053,0.04765612,0.000368422,0.0003208828,0.0195082,0.0002099305,0.1295744,0.6770276,0.003804718,0.1191708,0.0003904013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04190392,0.001332265,0.9480274,0.0002447935,0.0004615447,0.0003502876,0.0001702669,0.003220481,0.00428911],"genre_scores_gemma":[0.1474009,0.0005745679,0.8463902,0.0002947067,0.0002243794,0.0003249192,0.0003079209,0.0003929761,0.004089289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005518355,"threshold_uncertainty_score":0.01846069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152880907114151,"score_gpt":0.3897533846674879,"score_spread":0.3744652939560728,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}